Abstract
SYNOPTIC ABSTRACTLower partial moments (LPM) are predominantly used in portfolio theory and in areas involving financial risk, which addresses the problem of managing risky investment policies with the object of maximizing returns. LPM also plays an important role in the analysis of risks in income (poverty) studies. In this article, we extend the notion of LPM to the conditional set up and study its usefulness in the context of stochastic modeling. The relationship between various measures in reliability studies, income (poverty) studies, and risk analysis are also proved. Finally, a non-parametric estimator for conditional LPM is proposed and has been validated through simulated and real data sets.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: American Journal of Mathematical and Management Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
